Journal of Korean Academy of Nursing

Research Paper

Triglyceride-glucose parameters as predictors of diabetes mellitus incidence in Korean adults: a secondary analysis of the Korean Genome and Epidemiology Study: Yu Jin Park, Miseon Shin, Hyun Seon Jeon, Eun Hee Yang; Received September 5, 2024 Accepted February 6, 2025 Published online April 1, 2025; DOI: https://doi.org/10.4040/jkan.24108 [Epub ahead of print]

Abstract PDF ePub: Purpose
This study aimed to evaluate the association between triglyceride-glucose (TyG)–related parameters and the incidence of diabetes mellitus in Korean adults. Data were obtained from the Korean Genome and Epidemiology Study (KoGES).
Methods
This secondary analysis examined data from 6,816 adults aged 40–69 years who participated in the KoGES from 2001 to 2020. TyG–related parameters, including the TyG index, TyG–body mass index (TyG–BMI), TyG–waist circumference (TyG–WC), and TyG–waist-to-height ratio (TyG–WHtR), were assessed. Cox proportional hazards models were employed to determine the association between these parameters and the incidence of diabetes mellitus, with adjustments made for demographic, lifestyle, and health-related characteristics.
Results
Higher levels of all TyG–related parameters were significantly associated with an increased risk of developing diabetes mellitus. Specifically, participants in the highest quartile of the TyG index, TyG–BMI, TyG–WC, and TyG–WHtR exhibited significantly higher hazard ratios for diabetes mellitus incidence compared with those in the lowest quartile (p<.001 for all). Notably, the TyG index demonstrated a stronger predictive value for diabetes mellitus than traditional measures such as the homeostatic model assessment of insulin resistance.
Conclusion
TyG–related parameters are robust predictors of diabetes mellitus incidence in Korean adults. These findings support the incorporation of TyG–related measures into clinical settings for the early identification and intervention of high-risk populations. Utilizing these parameters for early diagnosis and preventive strategies may significantly enhance diabetes mellitus management.

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Original Articles

Incidence of Colon Cancer Related to Cigarette Smoking and Alcohol Consumption in Adults with Metabolic Syndrome: Prospective Cohort Study: Ahra Jo, Heeyoung Oh; J Korean Acad Nurs 2019;49(6):713-723. Published online December 30, 2019; DOI: https://doi.org/10.4040/jkan.2019.49.6.713

Abstract PDF

Purpose

The purpose of this study was to identify the impact of cigarette smoking and alcohol consumption on the incidence of colon cancer in adults with metabolic syndrome.

Methods

This study employed a longitudinal study design and utilized secondary data drawn from the Korean Genome and Epidemiology Study (KoGES). The data of a sample of 2,327 adults with metabolic syndrome tracked every two years from 2001 to 2014 were used in this study. Statistical data analyses of the frequency, number of cases per 100,000 person-years, log-rank test, Kaplan-Meier curve, and Cox's proportional hazards regression were performed using IBM SPSS statistics version 24.

Results

During the observation period, the number of colon cancer cases was 46, and the total person-years were 252,444. The incidence of colon cancer was higher in current, over 10 pack-year smokers when compared to non-smokers (hazard ratio=3.38, 95% confidence interval=1.09~8.42).

Conclusion

Excessive and long-term smoking should be avoided to prevent colon cancer, especially in adults with metabolic syndrome, since it might exacerbate the risk factors of colon cancer. Particularly, health professionals need to provide individualized smoking cessation interventions to those at high risk of colon cancer.

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Predictors of Postpartum Depression: Prospective Cohort Study: Ji Hyang Youn, Ihn Sook Jeong; J Korean Acad Nurs 2013;43(2):225-235. Published online April 30, 2013; DOI: https://doi.org/10.4040/jkan.2013.43.2.225

Abstract PDF

Purpose

This prospective cohort study was done to investigate recall bias to antepartum variables measured at postpartum periods and predictors of postpartum depression.

Methods

Participants were 215 women who answered a self-administered questionnaire which included demographics, Postpartum Depression Predictors Inventory-Revised and Korean version of Edinburgh Postpartum Depression Scale at antepartum 36-40 weeks and postpartum 2 weeks and 6 weeks. Data were analyzed using kappa, and hierarchical multiple logistic regression.

Results

Agreement between antepartum variables at both antepartum and two postpartum periods was relatively high (κ=.55-.95). Postpartum depression rates were 36.3% and 36.7% at two follow-up points. In hierarchical multiple logistic regression analysis, prenatal depression (OR=4.32, 95% CI: 1.41-13.19; OR=5.19, 95% CI: 1.41-19.08), social support (OR=1.40, 95% CI: 1.18-1.66; OR=1.27, 95% CI: 1.06-1.53) and maternity blues (OR=4.75, 95% CI: 1.89-11.98; OR=4.22, 95% CI: 1.60-11.12) were commonly associated with postpartum depression at two follow-up points. Child care stress (OR=1.85, 95% CI: 1.01-3.37) was only associated with postpartum depression at 2 weeks postpartum and pregnancy intendedness (OR=1.57, 95% CI: 1.09-2.27) was only associated with postpartum depression at 6 weeks postpartum.

Conclusions

The results indicate a need to apply nursing interventions such as prenatal education and counseling with families from antenatal period.

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